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Cited by in F6Publishing
For: Kim JH, Nam SJ, Park SC. Usefulness of artificial intelligence in gastric neoplasms. World J Gastroenterol 2021; 27(24): 3543-3555 [PMID: 34239268 DOI: 10.3748/wjg.v27.i24.3543] [Cited by in CrossRef: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
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1 Lyu P, Wang Y, Meng Q, Fan P, Ma K, Xiao S, Cao X, Lin G, Dong S. Mapping intellectual structures and research hotspots in the application of artificial intelligence in cancer: A bibliometric analysis. Front Oncol 2022;12:955668. [DOI: 10.3389/fonc.2022.955668] [Reference Citation Analysis]
2 Jie L, Liang P, Zhao Z, Chen J, Chang Q, Zeng Z. ADAN: An Adversarial Domain Adaptation Neural Network for Early Gastric Cancer Prediction. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022. [DOI: 10.1109/embc48229.2022.9871952] [Reference Citation Analysis]
3 Pantelis AG, Panagopoulou PA, Lapatsanis DP. Artificial Intelligence and Machine Learning in the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms—A Scoping Review. Diagnostics 2022;12:874. [DOI: 10.3390/diagnostics12040874] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 郭 晨. Application and Prospect of Artificial Intelligence Technology in Gastrointestinal Tumors. ACM 2022;12:10497-10502. [DOI: 10.12677/acm.2022.12111512] [Reference Citation Analysis]